E Anthon Eff
Dados Biográficos
| ID | 95210 |
|---|---|
| NOME | E Anthon Eff |
| PRENOMES | E Anthon |
| SOBRENOME | Eff |
| ASSINATURA | EFF E A |
| AFILIAÇÕES | Middle Tennessee State University |
| VERIFICADO | Não |
| TOTAL DE OBRAS | 9 |
| TOTAL DE CITAÇÕES | 19 |
| OBRAS COMO AUTOR | 9 |
| OBRAS COMO EDITOR | 0 |
| PRIMEIRO ANO DE PUBLICAÇÃO | 2008 |
| ANO MAIS RECENTE DE PUBLICAÇÃO | 2014 |
| ÍNDICE H | 3 |
The Integration of Periodic Markets in Mayan Guatemala
Updated scripts for R in Eff and Dow (2009) Issue 3#1 art 1
Changes in R necessitate updated R scripts for Eff, E. Anthon, & Dow, Malcolm M. (2009). How to Deal with Missing Data and Galton’s Problem in Cross-Cultural Survey Research: A Primer for R. Structure and Dynamics, 3(3). Retrieved from: http://www.escholarship.org/uc/item/7cm1f10b
Farming and Fighting
Explanations of the causes of war fall roughly into two schools: those arguing for the primacy of environment and technology, and those arguing for the primacy of sociopolitical factors. We re-examine two hypotheses from the former school, viz, societies are more likely to engage in war when they have: 1) more productive subsistence technology; and 2) higher population density. Using data from the Standard Cross-Cultural Sample, and up-to-date mu…
The State and the Supernatural
Using the Standard Cross-Cultural Sample, Roes and Raymond (2003) find that large societies are more likely to be located in resource-rich environments, engage in warfare, and hold beliefs in gods actively supporting human morality (“moralizing gods”). We revisit the Roes and Raymond study, using the methods presented in a series of papers by Dow and Eff. Our findings suggest that moralizing gods are less likely to be found in resource-rich envir…
Cultural Trait Transmission and Missing Data as Sources of Bias in Cross-Cultural Survey Research
Ember, Ember, and Low (2007) recently reported male mortality in warfare and environmental pathogen stress as statistically significant predictors of nonsororal polygyny. Two sources of bias can be identified in their data analysis: 1) omitted variable bias due to not including a variable for cultural trait transmission, that is, Galton's Problem; and 2) bias caused by extensive deletion of cases when the basic assumption required by listwise del…
Multiple Imputation of Missing Data in Cross-Cultural Samples
Listwise deletion of cases with missing data prior to statistical analysis, the approach overwhelmingly used by cross-cultural survey researchers, requires the assumption that the missing data are missing completely at random. This assumption is not often likely to hold for cross-cultural sample data, and when it fails statistical analysis based only on complete-case subsamples introduces the possibility of biased estimates and standard errors. O…
How to Deal with Missing Data and Galton's Problem in Cross-Cultural Survey Research
Multiple imputation (MI) has become the preferred method for dealing with missing data in survey research. MI involves three steps: creating m multiply imputed complete datasets; estimating models on each of the m datasets using any standard statistical procedure; combining the resulting multiple estimates of each statistic of interest. This paper provides R programs for MI, and offers some advice for employing MI with data drawn from the Standar…
Global, Regional, and Local Network Autocorrelation in the Standard Cross-Cultural Sample
There is now considerable evidence in the cross-cultural literature that cultural networks need not be based strictly on spatial propinquity but may develop along other dimensions such as common language, religion, and levels of cultural complexity. In this article, the authors generate networks based on sociocultural distance metrics for these three network dimensions in addition to the usual geographical distance measure and a measure of overal…
Weight Matrices for Cultural Proximity
Galton’s Problem is one of identifying functional relationships in a set of observations where the observations may be related through borrowing or descent. The problem has long been recognized in the fields of anthropology and cross-cultural research, but has been neglected in economics, even in cases where it is likely to be most acute, such as in regression models where each observation is a nation. The appropriate treatment for Galton’s Probl…
How to Deal with Missing Data and Galton's Problem in Cross-Cultural Survey Research
Multiple imputation (MI) has become the preferred method for dealing with missing data in survey research. MI involves three steps: creating m multiply imputed complete datasets; estimating models on each of the m datasets using any standard statistical procedure; combining the resulting multiple estimates of each statistic of interest. This paper provides R programs for MI, and offers some advice for employing MI with data drawn from the Standar…
Weight Matrices for Cultural Proximity
Galton’s Problem is one of identifying functional relationships in a set of observations where the observations may be related through borrowing or descent. The problem has long been recognized in the fields of anthropology and cross-cultural research, but has been neglected in economics, even in cases where it is likely to be most acute, such as in regression models where each observation is a nation. The appropriate treatment for Galton’s Probl…
The State and the Supernatural
Using the Standard Cross-Cultural Sample, Roes and Raymond (2003) find that large societies are more likely to be located in resource-rich environments, engage in warfare, and hold beliefs in gods actively supporting human morality (“moralizing gods”). We revisit the Roes and Raymond study, using the methods presented in a series of papers by Dow and Eff. Our findings suggest that moralizing gods are less likely to be found in resource-rich envir…
Farming and Fighting
Explanations of the causes of war fall roughly into two schools: those arguing for the primacy of environment and technology, and those arguing for the primacy of sociopolitical factors. We re-examine two hypotheses from the former school, viz, societies are more likely to engage in war when they have: 1) more productive subsistence technology; and 2) higher population density. Using data from the Standard Cross-Cultural Sample, and up-to-date mu…
Global, Regional, and Local Network Autocorrelation in the Standard Cross-Cultural Sample
There is now considerable evidence in the cross-cultural literature that cultural networks need not be based strictly on spatial propinquity but may develop along other dimensions such as common language, religion, and levels of cultural complexity. In this article, the authors generate networks based on sociocultural distance metrics for these three network dimensions in addition to the usual geographical distance measure and a measure of overal…
Weight Matrices for Cultural Proximity
Galton’s Problem is one of identifying functional relationships in a set of observations where the observations may be related through borrowing or descent. The problem has long been recognized in the fields of anthropology and cross-cultural research, but has been neglected in economics, even in cases where it is likely to be most acute, such as in regression models where each observation is a nation. The appropriate treatment for Galton’s Probl…
Cultural Trait Transmission and Missing Data as Sources of Bias in Cross-Cultural Survey Research
Ember, Ember, and Low (2007) recently reported male mortality in warfare and environmental pathogen stress as statistically significant predictors of nonsororal polygyny. Two sources of bias can be identified in their data analysis: 1) omitted variable bias due to not including a variable for cultural trait transmission, that is, Galton's Problem; and 2) bias caused by extensive deletion of cases when the basic assumption required by listwise del…
Multiple Imputation of Missing Data in Cross-Cultural Samples
Listwise deletion of cases with missing data prior to statistical analysis, the approach overwhelmingly used by cross-cultural survey researchers, requires the assumption that the missing data are missing completely at random. This assumption is not often likely to hold for cross-cultural sample data, and when it fails statistical analysis based only on complete-case subsamples introduces the possibility of biased estimates and standard errors. O…
How to Deal with Missing Data and Galton's Problem in Cross-Cultural Survey Research
Multiple imputation (MI) has become the preferred method for dealing with missing data in survey research. MI involves three steps: creating m multiply imputed complete datasets; estimating models on each of the m datasets using any standard statistical procedure; combining the resulting multiple estimates of each statistic of interest. This paper provides R programs for MI, and offers some advice for employing MI with data drawn from the Standar…
The State and the Supernatural
Using the Standard Cross-Cultural Sample, Roes and Raymond (2003) find that large societies are more likely to be located in resource-rich environments, engage in warfare, and hold beliefs in gods actively supporting human morality (“moralizing gods”). We revisit the Roes and Raymond study, using the methods presented in a series of papers by Dow and Eff. Our findings suggest that moralizing gods are less likely to be found in resource-rich envir…
Farming and Fighting
Explanations of the causes of war fall roughly into two schools: those arguing for the primacy of environment and technology, and those arguing for the primacy of sociopolitical factors. We re-examine two hypotheses from the former school, viz, societies are more likely to engage in war when they have: 1) more productive subsistence technology; and 2) higher population density. Using data from the Standard Cross-Cultural Sample, and up-to-date mu…
Updated scripts for R in Eff and Dow (2009) Issue 3#1 art 1
Changes in R necessitate updated R scripts for Eff, E. Anthon, & Dow, Malcolm M. (2009). How to Deal with Missing Data and Galton’s Problem in Cross-Cultural Survey Research: A Primer for R. Structure and Dynamics, 3(3). Retrieved from: http://www.escholarship.org/uc/item/7cm1f10b
The Integration of Periodic Markets in Mayan Guatemala
Galton's problem (4 obras) · Sociology (4 obras) · Computer Science (3 obras) · Culture, Economy, and Development Studies (3 obras) · Language and cultural evolution (3 obras) · Mathematics (3 obras) · Missing data (3 obras) · Statistical Methods and Bayesian Inference (3 obras) · Statistics (3 obras) · Biology (2 obras)